# Zillow Scraper — Property Listings by City & ZIP (`logiover/zillow-property-scraper`) Actor

Scrape Zillow listings for any US location: price, address, beds, baths, square footage, Zestimate, coordinates, broker and days on market. For sale, for rent or sold. No API key. Export to JSON/CSV/Excel.

- **URL**: https://apify.com/logiover/zillow-property-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** Real estate, Business, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.80 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Zillow Scraper — Export Property Listings by City or ZIP

Scrape **Zillow property listings** for any US market and export them to CSV, JSON or Excel. Search a city, a neighbourhood or a ZIP code and get every listing with price, full address, beds, baths, square footage, Zestimate, coordinates, listing brokerage and days on market — for sale, for rent, or recently sold.

No Zillow API key. No login. No browser automation to babysit.

***

### Why people use a Zillow scraper

Zillow has no public API for listing data. The official Bridge API is limited to licensed MLS participants, and the public site refuses ordinary HTTP clients. That leaves three options: pay an enterprise data vendor, build and maintain your own anti-bot stack, or run this Actor.

This is the third option. You get a normalised table of listings, priced per row, with no infrastructure to keep alive.

***

### What this Actor extracts

| Field | Type | Description |
|---|---|---|
| `zpid` | string | Zillow's unique property identifier |
| `detailUrl` | string | Link to the full listing page |
| `statusType` / `statusText` | string | `FOR_SALE`, `FOR_RENT`, `SOLD` and the label shown on the card |
| `price` / `priceText` | number / string | Asking or sold price as a number, plus Zillow's formatted string |
| `zestimate` | number | Zillow's estimated market value |
| `rentZestimate` | number | Zillow's estimated monthly rent |
| `taxAssessedValue` | number | Assessed value on record |
| `address` | string | Full address line |
| `street`, `city`, `state`, `zipcode` | string | Address split into components |
| `beds`, `baths` | number | Bedroom and bathroom counts |
| `areaSqft` | number | Living area in square feet |
| `lotAreaValue` / `lotAreaUnit` | number / string | Lot size and its unit |
| `homeType` | string | `SINGLE_FAMILY`, `CONDO`, `TOWNHOUSE`, `MULTI_FAMILY`, `LOT` … |
| `daysOnZillow` | number | How long the listing has been live |
| `latitude`, `longitude` | number | Coordinates, ready to map |
| `brokerName` | string | Listing brokerage |
| `isZillowOwned` | boolean | Zillow-owned inventory flag |
| `imageUrl` | string | Primary listing photo |
| `searchLocation`, `listingType` | string | Which query produced the row |
| `scrapedAt` | string | UTC timestamp of extraction |

Numbers are stored as **real numbers**, not strings, so you can sort, filter and pivot the export without cleaning it first.

***

### Input

```json
{
  "locations": ["austin-tx", "miami-fl", "denver-co", "90210"],
  "listingType": "forSale",
  "maxPagesPerLocation": 20,
  "maxResults": 5000
}
```

| Input | Default | Notes |
|---|---|---|
| `locations` | default market | City, neighbourhood or ZIP as it appears in a Zillow URL. A full Zillow search URL also works. |
| `listingType` | `forSale` | `forSale`, `forRent` or `sold`. |
| `maxPagesPerLocation` | 5 | Zillow returns about 40 listings per page. |
| `maxResults` | 1000 | Global cap for the run. `0` = unlimited. |

**Nothing is required.** Run it with empty input (`{}`) and it scrapes a busy default market, so you can see the exact output shape before configuring anything.

#### More ways to run it

```json
{ "locations": ["austin-tx"], "listingType": "sold" }
{ "locations": ["miami-fl", "tampa-fl", "orlando-fl"], "listingType": "forRent" }
{ "locations": ["https://www.zillow.com/seattle-wa/"], "maxPagesPerLocation": 20 }
{ "locations": ["10001", "10002", "10003"], "maxResults": 0 }
```

***

### Output sample

```json
{
  "zpid": "2101031832",
  "detailUrl": "https://www.zillow.com/homedetails/6702-Cat-Creek-Trl-Austin-TX-78731/2101031832_zpid/",
  "statusType": "FOR_SALE",
  "price": 500000,
  "priceText": "$500,000",
  "address": "6702 Cat Creek Trl, Austin, TX 78731",
  "street": "6702 Cat Creek Trl",
  "city": "Austin",
  "state": "TX",
  "zipcode": "78731",
  "beds": 2,
  "baths": 2,
  "areaSqft": 1270,
  "homeType": "SINGLE_FAMILY",
  "daysOnZillow": 5,
  "latitude": 30.362926,
  "longitude": -97.77918,
  "brokerName": "Compass RE Texas, LLC",
  "scrapedAt": "2026-08-06T18:12:00.000Z"
}
```

***

### Use cases

#### Comparable sales analysis

Set `listingType` to `sold` and pull recent transactions for a ZIP. Price, square footage and beds come back as numbers, so a price-per-square-foot comparison is one spreadsheet formula away.

#### Real estate investor sourcing

Scrape several markets at once and filter on `price`, `areaSqft`, `daysOnZillow` and `homeType`. A property sitting well past the local median days-on-market is a negotiation opening.

#### Market monitoring and reporting

Run it on a schedule and snapshot inventory, median price and days on market per city. Because every row carries `scrapedAt`, exports stack into a time series without extra work.

#### Lead generation for agents and vendors

`brokerName` gives you the listing brokerage for every property in a market — a clean, current list of who is active where.

#### Mapping and geospatial analysis

`latitude` and `longitude` are numeric on every row, so the export drops straight into Mapbox, Kepler, QGIS or a PostGIS table.

***

### Integrating the results

Every run writes to a dataset you can download as **JSON, CSV, Excel, XML or JSONL**, or read through the Apify API.

**HTTP**

```bash
curl "https://api.apify.com/v2/acts/logiover~zillow-property-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"locations":["austin-tx"],"maxResults":500}'
```

**Python**

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/zillow-property-scraper").call(
    run_input={"locations": ["austin-tx", "miami-fl"], "maxResults": 2000}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["address"], item["price"], item["beds"])
```

**JavaScript**

```js
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('logiover/zillow-property-scraper').call({
  locations: ['denver-co'],
  listingType: 'sold',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

Results can also be pushed to Google Sheets, Airtable, Slack, Zapier or Make through Apify integrations, or fetched by an AI agent over MCP.

***

### Frequently asked questions

#### Does Zillow have a public API for listings?

Not for general use. Zillow's Bridge API is restricted to licensed MLS participants and does not serve the public listing feed. Scraping the public site is the practical route for market research, and this Actor does it for you.

#### How many listings can I get in one run?

As many as the market has. A single run in testing returned **5,000 listings across eight cities** with every key field populated. Raise `maxResults` and `maxPagesPerLocation` to go further; set `maxResults` to `0` for no cap.

#### Is scraping Zillow legal?

This Actor reads publicly available pages — the same ones any visitor sees — and does not log in, bypass a paywall or collect personal data. How you use the output is your responsibility; check Zillow's terms and your local rules, and take advice before redistributing the data commercially.

#### Why does it need a residential proxy?

Zillow refuses datacenter IP ranges outright for this content. The Actor runs on residential proxy automatically and takes a fresh exit IP per attempt — you do not need to configure anything.

#### Why did a run return fewer rows than I asked for?

Zillow refuses requests in bursts that last minutes rather than per request. The Actor spreads its retries out to cross those windows, but a very large run can still hit one at the end. Re-run it, or split large jobs across several smaller runs.

#### Can I get the full property record, not just the listing card?

Yes — that is a separate Actor. See below.

***

### Related Actors

- **Zillow Property Detail Scraper** — feed it the `zpid` values from this run to get taxes, HOA, year built, photos, assigned schools, price history and agent details.
- **Redfin Scraper** and **Realtor.com Scraper** — the same markets from other sources, for cross-checking coverage.
- **Website Contact Scraper** — turn brokerage names into contact details.

A natural pipeline: **search a market here → feed the ZPIDs into the detail Actor → enrich brokerages with contact data.**

***

### Pricing

Pay per result. You are charged for the rows you actually receive, plus a negligible flat fee when a run starts. No monthly subscription and no minimum commitment, so a small test run costs cents.

***

*This Actor uses publicly available data. Zillow is a trademark of Zillow, Inc. This is an independent tool and is not affiliated with, endorsed by, or sponsored by Zillow.*

# Actor input Schema

## `locations` (type: `array`):

Cities, neighbourhoods or ZIP codes as they appear in a Zillow URL, e.g. 'austin-tx', 'miami-fl', '90210'. A full Zillow search URL works too. Leave EMPTY to scrape a busy default market so the run still returns data.

## `listingType` (type: `string`):

Which Zillow market to read. 'Recently sold' is what comparable-sales research needs.

## `maxPagesPerLocation` (type: `integer`):

Zillow returns about 40 listings per page. Five pages is roughly 200 listings per location.

## `maxResults` (type: `integer`):

Global cap for the run so an empty-input run stays fast and cheap. 0 = unlimited.

## Actor input object example

```json
{
  "locations": [
    "austin-tx"
  ],
  "listingType": "forSale",
  "maxPagesPerLocation": 5,
  "maxResults": 1000
}
```

# Actor output Schema

## `results` (type: `string`):

All records extracted by this run. Open the Dataset tab to browse, filter, and export as CSV, JSON, or Excel.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "locations": [
        "austin-tx"
    ],
    "listingType": "forSale"
};

// Run the Actor and wait for it to finish
const run = await client.actor("logiover/zillow-property-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "locations": ["austin-tx"],
    "listingType": "forSale",
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/zillow-property-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "locations": [
    "austin-tx"
  ],
  "listingType": "forSale"
}' |
apify call logiover/zillow-property-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,logiover/zillow-property-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/t0JQdUI0iQtklj5PE/builds/Xgak8rQSK3aoNkDqp/openapi.json